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AHP model favors three-tier modular CASE tool architecture
A decision-support model using Analytic Hierarchy Process to select optimal application server architectures by evaluating multiple design criteria and architectural trade-offs.
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RAG Without the Lag: Enabling "What-If" Analysis for Retrieval-Augmented Generation Pipelines
Raggy enables rapid experimentation in retrieval-augmented generation pipelines through composable primitives and interactive debugging, reducing development friction.
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Intelligent system supports multicriteria investment project optimization
Researchers developed an intelligent software system using network models and vector optimization to manage investment projects adaptively under multiple objectives and uncertainty.
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Preferences and detail mattered most in supplementary materials
Study of 96 undergraduates examining how relevance, clarity, detail, examples, and preferences influence perceived usefulness of supplementary materials in software engineering education.
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I Can SE Clearly Now: Investigating the Effectiveness of GUI-based Symbolic Execution for Software Vulnerability Discovery
Controlled experiment examining how GUI versus API interfaces affect expert performance in symbolic execution for software vulnerability discovery and tool usability.
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Coordinate accuracy ranked highest in vector image quality factors
Methodology and automated system for identifying and prioritizing geometric and structural factors in vector image quality assessment using dependency-weighting analysis.
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A Research Course to Develop AI Tools for K–12 Learning
University course integrating AI/ML software development with educational research training, producing tools for K-12 instruction through authentic school partnerships.
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Data management mechanism proposed for software development decisions
Framework for implementing data management mechanisms to support decision-making in software development companies, integrating technological and organizational perspectives.
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Support Vector Machine and Random Forest led software fault prediction
Review of machine learning techniques for software fault prediction from 2023-2025, examining algorithms, datasets, evaluation methods, and challenges in predictive modeling for software reliability.
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Migration-based maintenance is proposed as a future direction
Systematic research agenda for migration-based software maintenance automation, establishing a four-stage lifecycle model for transferring knowledge and solutions across software systems.
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Brooks links joyful work to tractability and testability
Analysis of Fred Brooks's concepts of tractability and testability in software development, extended to understanding joyful work through Christian vocational theology and anthropology.
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Docker’s technical evolution and continued adaptation
Retrospective analysis of Docker's technical architecture, cross-platform expansion, and evolution toward modular standardization over a decade of development.
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Performance optimization methods for PLUMED calculations
Learn PLUMED performance optimization techniques for molecular dynamics analysis. Discover vectorization strategies and benchmarking methods to reduce computational overhead in complex descriptor.
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DBSCAN identified configuration items early in an IT system
Research adapts DBSCAN clustering to automate early identification of configuration items in enterprise information systems, enabling architectural synthesis.
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Integrating Quantum Software Tools with(in) MLIR
A practical guide for integrating quantum software tools using MLIR infrastructure, demonstrated through a case study connecting PennyLane and Munich Quantum Toolkit.